﻿TwoWayAnovaTypeII Methods

TwoWayAnovaTypeII Methods

The TwoWayAnovaTypeII type exposes the following members.

Methods
NameDescription
ComputeBalancedAnova Computes the ANOVA in the case that the design is acutally balanced. This can greatly increase performance if an unbalanced ANOVA class is used to perform an ANOVA on a data set that is in fact balanced (same number of observations in each cell).
(Inherited from TwoWayAnovaUnbalanced)
ComputeFactorSumsOfSquares(DoubleMatrix) Fill in the DoubleVector parameterSumsOfSquares_ with the sums of squares for the parameters used in the regression that is used to compute the ANOVA.
(Inherited from TwoWayAnovaBase)
ComputeFactorSumsOfSquares(DoubleMatrix, TwoWayAnovaUnbalancedParameterOrder, TwoWayAnovaUnbalancedParameterSlices) Compute the factor sums of squares.
(Inherited from TwoWayAnovaUnbalanced)
ComputeFactorSumsOfSquares(LinearRegression, Int32, Int32, Int32) Fill in the DoubleVector parameterSumsOfSquares_ with the sums of squares for the parameters used in the regression that is used to compute the ANOVA.
(Inherited from TwoWayAnovaBase)
GetCellData Returns all the data in a cell, as defined by the levels of the two factors in the ANOVA.
(Inherited from TwoWayAnovaBase)
GetFactorSumOfSquares For a given parameter order, retrives the sum of squares for the regression parameters associated with the last factor, or interaction, in the order.
(Inherited from TwoWayAnovaUnbalanced)
GetMeanForCell Returns the mean for the specified cell, as defined by the levels of the two factors in the ANOVA.
(Inherited from TwoWayAnovaBase)
GetMeanForFactorLevel Returns the mean for the specified factor level.
(Inherited from TwoWayAnovaBase)
GetOrderedRegression Create the ordered linear regession object for the data and given coefficient ordering.
(Inherited from TwoWayAnovaUnbalanced)
GetParameterSlices For a give ANOVA regression factor/interaction parameter order, computes the slices to access the columns of the regression matrix for the factor and interaction parameters.
(Inherited from TwoWayAnovaUnbalanced)
IncrementalSumOfSquares(LinearRegression, Int32, DoubleVector, Double)
(Inherited from TwoWayAnovaUnbalanced)
IncrementalSumOfSquares(DoubleMatrix, Int32, DoubleVector, Double, Factor, AnovaRegressionFactorParam) Computes the incremental sum of squares when adding numParameters to the regression model. The columns corresponding these parameters are assumed to be the last numParameter columns in the given regression matrix.
(Inherited from TwoWayAnovaUnbalanced)
InitializeFactorsAndCellData Consumes the ANOVA data from a DataFrame.
(Inherited from TwoWayAnovaUnbalanced)
InterceptParameterSumOfSquares Compte the sum of squares associated with the regression's intercept parameter.
(Inherited from TwoWayAnovaBase)
MakeCellData Fills in the cell data for a two way ANOVA from the given data frame and column information.
(Inherited from TwoWayAnovaBase)
MakeFactorParameters(LinearRegression, DoubleVector, Int32, Factor) Create the array of AnovaRegressionFactorParam objects, one for each regression dummy variable. The sums of squares for each of these parameters is assumed to have been computed are are stored in the DoubleVector instance variable parameterSumsOfSquares with the parameters for factor A first, followed by the parameters for factor B and starting at the given index.
(Inherited from TwoWayAnovaBase)
MakeFactorParameters(Factor, DoubleVector, LinearRegression, Int32, Int32) Create the array of AnovaRegressionFactorParam objects, one for each regression dummy variable. The sums of squares for each of these parameters is assumed to have been computed are are stored in the DoubleVector instance variable parameterSumsOfSquares with the parameters for factor A first, followed by the parameters for factor B and starting at the given index.
(Inherited from TwoWayAnovaUnbalanced)
MakeInteractionParameters Creates the array of AnovaRegressionInteractionParam objects using the DoubleVector instance variable parameterSumsOfSquares_. The sums of squares for the interaction parameters are assumed to begin at the given index.
(Inherited from TwoWayAnovaBase)
ReorderRegressionMatrix For a give parameter order reorders the columns of the input regression matrix so that the the columns corresponding to the parameters are in the order specified by the parameter order.
(Inherited from TwoWayAnovaUnbalanced)
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